The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-12-27"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "80787374 (up from 80354798 yesterday: 0.54 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1764863 (up from 1757657 yesterday: 0.41 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 13637824

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.18



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 19132726 150092 0.79 4301843 333118 1209 0.36 1.74
India 10207871 20021 0.20 530668 147901 279 0.19 1.45
Brazil 7484285 18479 0.25 880745 191139 344 0.18 2.55
Russia 3019972 27849 0.93 580809 54080 541 1.01 1.79
France 2616510 8822 0.34 268915 62867 173 0.28 2.40
United Kingdom 2295228 32493 1.44 567477 70860 347 0.49 3.09
Turkey 2147578 14205 0.67 1319283 19878 254 1.29 0.93
Italy 2047696 8937 0.44 318818 71925 305 0.43 3.51
Spain 1854951 0 0.00 170304 49824 0 0.00 2.69
Germany 1658639 12399 0.75 464089 30297 351 1.17 1.83
Colombia 1594497 9594 0.61 223394 42171 228 0.54 2.64
Argentina 1583297 5030 0.32 120187 42650 149 0.35 2.69
Mexico 1383434 6217 0.45 207584 122426 400 0.33 8.85
Poland 1257799 3842 0.31 194350 27118 57 0.21 2.16
Iran 1200465 5502 0.46 159918 54693 119 0.22 4.56
Ukraine 1056265 6548 0.62 221352 18472 83 0.45 1.75
Peru 1005546 0 0.00 32858 37368 0 0.00 3.72
South Africa 1004413 9502 0.96 189848 26735 214 0.81 2.66
Netherlands 774009 9102 1.19 207381 11090 28 0.25 1.43
Indonesia 713365 6528 0.92 137569 21237 243 1.16 2.98
Czechia 670599 3030 0.45 123766 11044 94 0.86 1.65
Belgium 638877 847 0.13 47121 19200 42 0.22 3.01
Romania 615809 2049 0.33 102233 15230 122 0.81 2.47
Chile 600105 1711 0.29 39723 16443 39 0.24 2.74
Iraq 591597 818 0.14 27397 12780 13 0.10 2.16
Canada 554282 10141 1.86 135434 14929 160 1.08 2.69
Bangladesh 509148 1049 0.21 31603 7452 24 0.32 1.46
Pakistan 473309 1974 0.42 53015 9929 55 0.56 2.10
Philippines 469886 881 0.19 30052 9109 42 0.46 1.94
Morocco 432079 1517 0.35 52422 7240 36 0.50 1.68
Switzerland 428197 0 0.00 83700 7210 17 0.24 1.68
Israel 401470 2806 0.70 56564 3226 16 0.50 0.80
Sweden 396048 0 0.00 117136 8279 0 0.00 2.09
Portugal 394573 1577 0.40 72099 6619 63 0.96 1.68
Saudi Arabia 362220 154 0.04 3507 6185 9 0.15 1.71
Austria 351892 1408 0.40 48462 5881 38 0.65 1.67
Serbia 326060 2693 0.83 106408 3030 47 1.58 0.93
Hungary 316060 698 0.22 65782 9047 96 1.07 2.86
Jordan 287946 1590 0.56 47857 3758 29 0.78 1.31
Nepal 258181 481 0.19 17200 1825 6 0.33 0.71
Panama 231357 2633 1.15 53638 3840 41 1.08 1.66
Georgia 221605 1097 0.50 59130 2377 25 1.06 1.07
Japan 221412 2945 1.35 58495 3100 38 1.24 1.40
Azerbaijan 214711 1519 0.71 68032 2499 45 1.83 1.16
Ecuador 209355 81 0.04 11357 13992 2 0.01 6.68
Croatia 204930 618 0.30 54577 3671 58 1.61 1.79
United Arab Emirates 201836 944 0.47 25407 657 2 0.31 0.33
Kazakhstan 197902 760 0.39 17813 2686 0 0.00 1.36
Bulgaria 197716 332 0.17 36295 7164 41 0.58 3.62
Belarus 186747 1825 0.99 39590 1385 9 0.65 0.74
Lebanon 171226 1754 1.03 34114 1394 15 1.09 0.81
Slovakia 167523 874 0.52 50792 1773 41 2.37 1.06
Dominican Republic 166764 824 0.50 18311 2404 0 0.00 1.44
Costa Rica 162990 0 0.00 19305 2086 0 0.00 1.28
Armenia 157834 485 0.31 15897 2768 16 0.58 1.75
Bolivia 154843 494 0.32 9283 9098 5 0.05 5.88
Denmark 153952 2188 1.44 62821 1174 21 1.82 0.76
Kuwait 149653 204 0.14 5284 931 2 0.22 0.62
Qatar 143062 159 0.11 3154 244 0 0.00 0.17
Moldova 141355 359 0.25 24990 2891 8 0.28 2.05
Greece 135456 342 0.25 19985 4606 53 1.16 3.40
Guatemala 135309 138 0.10 9759 4768 5 0.10 3.52
West Bank and Gaza 133093 1189 0.90 35055 1309 28 2.19 0.98
Egypt 132541 1226 0.93 14109 7405 53 0.72 5.59
Tunisia 131592 1362 1.05 27590 4466 40 0.90 3.39
Lithuania 130598 1667 1.29 55949 1254 26 2.12 0.96
Oman 128472 182 0.14 3586 1495 4 0.27 1.16
Ethiopia 122864 451 0.37 9569 1909 8 0.42 1.55
Burma 121886 606 0.50 22731 2601 22 0.85 2.13
Honduras 119097 0 0.00 8074 3065 0 0.00 2.57
Slovenia 114806 622 0.54 29001 2565 33 1.30 2.23
Venezuela 112316 365 0.33 7874 1014 1 0.10 0.90
Bosnia and Herzegovina 109691 361 0.33 15184 3953 30 0.76 3.60
Malaysia 105096 1196 1.15 32402 452 1 0.22 0.43
Paraguay 104422 260 0.25 16502 2188 14 0.64 2.10

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 2156389 35779 1.69 789716 24282 64 0.26 1.13 54575.24 614.54 1 in 18
Texas 1690986 22848 1.37 305673 26966 50 0.19 1.59 58318.15 929.99 1 in 17
Florida 1271979 7391 0.58 213905 21212 77 0.36 1.67 59223.14 987.63 1 in 17
Illinois 937909 3767 0.40 150336 17336 112 0.65 1.85 74015.33 1368.07 1 in 14
New York 922145 7623 0.83 216697 37411 125 0.34 4.06 47402.38 1923.09 1 in 21
Ohio 670525 5857 0.88 195501 8509 33 0.39 1.27 57363.27 727.94 1 in 17
Georgia 632299 3511 0.56 130894 10689 4 0.04 1.69 59552.96 1006.74 1 in 17
Pennsylvania 613272 4505 0.74 190172 14969 111 0.75 2.44 47904.43 1169.27 1 in 21
Tennessee 564080 3188 0.57 163486 6512 69 1.07 1.15 82550.22 953.00 1 in 12
North Carolina 516828 2898 0.56 121838 6549 23 0.35 1.27 49277.64 624.42 1 in 20
Michigan 516326 0 0.00 89750 12690 0 0.00 2.46 51700.55 1270.67 1 in 19
Wisconsin 508580 2558 0.51 67513 5039 10 0.20 0.99 87348.35 865.45 1 in 11
Arizona 494337 1296 0.26 130061 8427 3 0.04 1.70 64917.13 1106.65 1 in 15
Indiana 493841 1820 0.37 112224 7843 42 0.54 1.59 73354.86 1164.99 1 in 14
New Jersey 461221 2320 0.51 93205 18630 17 0.09 4.04 51926.50 2097.46 1 in 19
Minnesota 409061 2516 0.62 58199 5206 40 0.77 1.27 72533.28 923.11 1 in 14
Missouri 391946 1480 0.38 62526 5471 1 0.02 1.40 63861.60 891.42 1 in 16
Massachusetts 352736 3134 0.90 95892 12110 100 0.83 3.43 50757.01 1742.57 1 in 20
Alabama 345628 2170 0.63 75751 4691 6 0.13 1.36 70490.51 956.73 1 in 14
Virginia 333576 3999 1.21 78523 4854 14 0.29 1.46 39080.93 568.68 1 in 26
Colorado 325018 1399 0.43 64437 4610 18 0.39 1.42 56439.12 800.52 1 in 18
Louisiana 299722 3223 1.09 48599 7291 19 0.26 2.43 64473.07 1568.36 1 in 16
South Carolina 296179 7287 2.52 64080 5155 31 0.60 1.74 57524.85 1001.22 1 in 17
Oklahoma 279139 2631 0.95 62653 2370 13 0.55 0.85 70543.61 598.94 1 in 14
Iowa 275299 506 0.18 30608 3744 1 0.03 1.36 87256.07 1186.66 1 in 11
Maryland 267198 1758 0.66 52171 5712 32 0.56 2.14 44196.52 944.81 1 in 23
Utah 264874 796 0.30 49467 1214 2 0.17 0.46 82619.30 378.67 1 in 12
Kentucky 257062 1500 0.59 56431 2555 21 0.83 0.99 57538.23 571.89 1 in 17
Washington 236719 0 0.00 47567 3184 0 0.00 1.35 31086.32 418.13 1 in 32
Nevada 217509 1856 0.86 49369 2950 8 0.27 1.36 70616.23 957.74 1 in 14
Arkansas 214877 908 0.42 43953 3482 41 1.19 1.62 71202.60 1153.81 1 in 14
Kansas 212989 0 0.00 41625 2503 0 0.00 1.18 73108.84 859.16 1 in 14
Mississippi 206388 1365 0.67 41457 4606 41 0.90 2.23 69347.33 1547.64 1 in 14
Connecticut 172743 0 0.00 45028 5791 0 0.00 3.35 48451.36 1624.27 1 in 21
Nebraska 161974 637 0.39 22140 1559 0 0.00 0.96 83733.11 805.93 1 in 12
New Mexico 137968 742 0.54 29880 2346 30 1.30 1.70 65798.40 1118.83 1 in 15
Idaho 136215 428 0.32 25705 1354 0 0.00 0.99 76010.08 755.55 1 in 13
Oregon 109725 1399 1.29 25229 1427 5 0.35 1.30 26015.14 338.33 1 in 38
South Dakota 97390 427 0.44 11399 1446 0 0.00 1.48 110087.62 1634.53 1 in 9
North Dakota 91464 110 0.12 8483 1266 2 0.16 1.38 120021.73 1661.28 1 in 8
Rhode Island 82066 0 0.00 19929 1704 0 0.00 2.08 77467.45 1608.52 1 in 13
West Virginia 80710 533 0.66 25713 1254 1 0.08 1.55 45161.37 701.68 1 in 22
Montana 79780 347 0.44 11905 924 5 0.54 1.16 74646.00 864.54 1 in 13
Puerto Rico 73227 784 1.08 16556 1445 13 0.91 1.97 22928.62 452.45 1 in 44
Delaware 55057 584 1.07 15145 897 2 0.22 1.63 56540.39 921.17 1 in 18
Alaska 45781 302 0.66 8745 200 0 0.00 0.44 62581.25 273.39 1 in 16
Wyoming 43200 54 0.13 6883 373 0 0.00 0.86 74642.47 644.48 1 in 13
New Hampshire 40809 876 2.19 16038 708 7 1.00 1.73 30013.00 520.70 1 in 33
District of Columbia 28202 492 1.78 5066 768 6 0.79 2.72 39960.38 1088.21 1 in 25
Maine 21880 333 1.55 8532 323 4 1.25 1.48 16277.19 240.29 1 in 61
Hawaii 21350 94 0.44 2508 285 0 0.00 1.33 15079.05 201.29 1 in 66
Vermont 7029 63 0.90 2014 127 6 4.96 1.81 11264.62 203.53 1 in 89

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 31826696 2156389 6.78 6631650 789716 11.91 805489.9
2 Texas 13456336 1690986 12.57 2095360 305673 14.59 464077.5
3 Florida 15343992 1271979 8.29 2260471 213905 9.46 714413.8
4 Illinois 12985612 937909 7.22 1884398 150336 7.98 1024762.9
5 New York 24628494 922145 3.74 4033800 216697 5.37 1266014.7
6 Ohio 7607922 670525 8.81 1132212 195501 17.27 650856.1
7 Georgia 5233528 632299 12.08 757476 130894 17.28 492918.9
8 Pennsylvania 3841488 613272 15.96 492338 190172 38.63 300069.6
9 Tennessee 5560918 564080 10.14 870396 163486 18.78 813811.8
10 North Carolina 6779423 516828 7.62 1168147 121838 10.43 646392.9
11 Michigan 7979269 516326 6.47 1014211 89750 8.85 798977.0
12 Wisconsin 5252692 508580 9.68 629465 67513 10.73 902147.1
13 Arizona 2775486 494337 17.81 404987 130061 32.11 364481.3
14 Indiana 5536056 493841 8.92 958845 112224 11.70 822322.6
15 New Jersey 7466684 461221 6.18 1179871 93205 7.90 840635.5
16 Minnesota 5269754 409061 7.76 838077 58199 6.94 934414.5
17 Missouri 3576638 391946 10.96 380453 62526 16.43 582758.4
18 Massachusetts 10663821 352736 3.31 1693569 95892 5.66 1534472.5
19 Alabama 1843740 345628 18.75 198699 75751 38.12 376029.0
20 Virginia 4149987 333576 8.04 657786 78523 11.94 486202.1
21 Colorado 4306571 325018 7.55 828411 64437 7.78 747832.7
22 Louisiana 4102652 299722 7.31 494569 48599 9.83 882519.6
23 South Carolina 3102884 296179 9.55 574693 64080 11.15 602652.2
24 Oklahoma 2593811 279139 10.76 368496 62653 17.00 655504.2
25 Iowa 1163367 275299 23.66 64778 30608 47.25 368729.4
26 Maryland 5572763 267198 4.79 887287 52171 5.88 921776.1
27 Utah 2195885 264874 12.06 273649 49467 18.08 684938.8
28 Kentucky 3113655 257062 8.26 381650 56431 14.79 696929.9
29 Washington 3710779 236719 6.38 576934 47567 8.24 487305.5
30 Nevada 2039790 217509 10.66 306527 49369 16.11 662235.9
31 Arkansas 2011608 214877 10.68 248458 43953 17.69 666575.4
32 Kansas 962204 212989 22.14 117018 41625 35.57 330278.2
33 Mississippi 1334046 206388 15.47 186720 41457 22.20 448245.7
34 Connecticut 4125079 172743 4.19 702981 45028 6.41 1157011.8
35 Nebraska 1701178 161974 9.52 244810 22140 9.04 879430.8
36 New Mexico 1932739 137968 7.14 284763 29880 10.49 921743.7
37 Idaho 536767 136215 25.38 46380 25705 55.42 299524.3
38 Oregon 2537482 109725 4.32 447369 25229 5.64 601621.7
39 South Dakota 368785 97390 26.41 28790 11399 39.59 416866.8
40 North Dakota 1229770 91464 7.44 97745 8483 8.68 1613740.1
41 Rhode Island 1887457 82066 4.35 278609 19929 7.15 1781693.9
42 West Virginia 1466530 80710 5.50 243167 25713 10.57 820598.4
43 Montana 780119 79780 10.23 91905 11905 12.95 729916.8
45 Delaware 946340 55057 5.82 168042 15145 9.01 971837.1
46 Alaska 1250251 45781 3.66 172475 8745 5.07 1709055.5
47 Wyoming 478351 43200 9.03 60724 6883 11.33 826511.6
48 New Hampshire 1009807 40809 4.04 148334 16038 10.81 742663.0
49 District of Columbia 882847 28202 3.19 148214 5066 3.42 1250936.2
50 Maine 1068862 21880 2.05 154682 8532 5.52 795158.8
51 Hawaii 798302 21350 2.67 96526 2508 2.60 563823.6
52 Vermont 682083 7029 1.03 98281 2014 2.05 1093101.0

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 4785738 471955 466 0.10 9.86 3801 508 59327 24867 5.27
Veneto 3232475 240652 3337 1.41 7.44 2626 360 90021 6038 2.51
Piemonte 1654351 194262 470 0.24 11.74 3039 211 31062 7784 4.01
Campania 1992877 186131 310 0.17 9.34 1440 95 80075 2686 1.44
Emilia-Romagna 2508298 166327 1283 0.78 6.63 2609 210 58175 7493 4.50
Lazio 2656014 157767 977 0.62 5.94 2802 301 76438 3529 2.24
Toscana 1849528 118784 227 0.19 6.42 847 165 10800 3588 3.02
Sicilia 1188827 89616 682 0.77 7.54 1027 174 33167 2298 2.56
Puglia 1008542 86439 221 0.26 8.57 1444 154 53638 2347 2.72
Liguria 695223 59104 99 0.17 8.50 695 66 5769 2846 4.82
Friuli Venezia Giulia 907700 47667 144 0.30 5.25 626 58 12190 1564 3.28
Marche 514332 39697 181 0.46 7.72 428 65 9671 1527 3.85
Abruzzo 506082 34496 25 0.07 6.82 443 36 11816 1173 3.40
Sardegna 470328 30145 96 0.32 6.41 483 43 16415 710 2.36
P.A. Bolzano 355149 28803 57 0.20 8.11 154 20 10580 720 2.50
Umbria 492558 28064 36 0.13 5.70 260 36 3553 604 2.15
Calabria 429979 22694 179 0.80 5.28 255 18 8578 451 1.99
P.A. Trento 442600 21049 86 0.41 4.76 356 45 1775 902 4.29
Basilicata 180690 10481 9 0.09 5.80 98 5 5959 242 2.31
Valle d’Aosta 61613 7181 27 0.38 11.66 83 2 432 374 5.21
Molise 113233 6382 1 0.02 5.64 55 8 2319 182 2.85

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 192665 6793 3.65 8023 110 1.39 4.16 22566.45 939.72 1 in 44
Ontario 173655 1763 1.03 4342 15 0.35 2.50 11803.77 295.14 1 in 85
Alberta 97481 500 0.52 890 0 0.00 0.91 22088.78 201.67 1 in 45
British Columbia 48609 0 0.00 808 0 0.00 1.66 9510.82 158.09 1 in 105
Manitoba 24145 521 2.21 645 28 4.54 2.67 17527.91 468.23 1 in 57
Saskatchewan 14814 559 3.92 141 7 5.22 0.95 12536.54 119.32 1 in 80
Nova Scotia 1465 0 0.00 65 0 0.00 4.44 1498.79 66.50 1 in 667
New Brunswick 592 2 0.34 8 0 0.00 1.35 758.98 10.26 1 in 1318
Newfoundland and Labrador 387 3 0.78 4 0 0.00 1.03 742.28 7.67 1 in 1347
Nunavut 265 0 0.00 1 0 0.00 0.38 NA NA 1 in NA
Prince Edward Island 94 0 0.00 0 0 NaN 0.00 594.34 0.00 1 in 1683
Yukon 60 0 0.00 1 0 0.00 1.67 1460.64 24.34 1 in 685
Northwest Territories 24 0 0.00 0 0 NaN 0.00 534.47 0.00 1 in 1871
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 58474.10 1018.09 1 in 17
India 7623.50 110.46 1 in 131
Brazil 35758.65 913.23 1 in 28
Russia 20899.46 374.26 1 in 48
France 39058.22 938.45 1 in 26
United Kingdom 34545.88 1066.53 1 in 29
Turkey 26575.65 245.98 1 in 38
Italy 33857.41 1189.24 1 in 30
Spain 39754.63 1067.81 1 in 25
Germany 20034.29 365.95 1 in 50
Colombia 32494.33 859.40 1 in 31
Argentina 35764.56 963.41 1 in 28
Mexico 10707.69 947.57 1 in 93
Poland 33117.40 714.01 1 in 30
Iran 14791.34 673.89 1 in 68
Ukraine NA NA 1 in NA
Peru 31257.26 1161.58 1 in 32
South Africa 17708.27 471.35 1 in 56
Netherlands 45052.91 645.52 1 in 22
Indonesia 2702.14 80.44 1 in 370

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 719833 9482 1.32
Cook Illinois 384931 8114 2.11
Maricopa Arizona 302707 4907 1.62
Miami-Dade Florida 288306 4150 1.44
Harris Texas 231707 3331 1.44
Dallas Texas 186880 1931 1.03
San Bernardino California 185111 1437 0.78
Riverside California 169360 1829 1.08
Clark Nevada 164673 2261 1.37
Orange California 147463 1846 1.25
San Diego California 145779 1402 0.96
Tarrant Texas 135793 1367 1.01
Broward Florida 132897 1817 1.37
Queens New York 117841 7521 6.38
Kings New York 116383 7679 6.60
Bexar Texas 112218 1689 1.51
Salt Lake Utah 103615 534 0.52
El Paso Texas 97178 1611 1.66
Suffolk New York 90142 2251 2.50
Philadelphia Pennsylvania 89887 2356 2.62
Milwaukee Wisconsin 89838 971 1.08
Hennepin Minnesota 85143 1357 1.59
Wayne Michigan 83383 3578 4.29
Nassau New York 83045 2363 2.85
Franklin Ohio 80939 697 0.86
Palm Beach Florida 80239 1860 2.32
Bronx New York 79759 5120 6.42
Hillsborough Florida 74368 1058 1.42
Orange Florida 73050 728 1.00
Middlesex Massachusetts 71348 2672 3.75
Marion Indiana 68136 1089 1.60
Cuyahoga Ohio 67417 877 1.30
St. Louis Missouri 67120 1342 2.00
Westchester New York 66837 1643 2.46
Pima Arizona 65915 983 1.49
Santa Clara California 64974 652 1.00
Shelby Tennessee 64653 847 1.31
Utah Utah 64449 204 0.32
Kern California 63557 485 0.76
Fresno California 63080 646 1.02
Sacramento California 62435 809 1.30
King Washington 60693 976 1.61
New York New York 60257 3307 5.49
Mecklenburg North Carolina 60144 540 0.90
DuPage Illinois 60077 991 1.65
Oakland Michigan 59724 1604 2.69
Davidson Tennessee 59048 541 0.92
Duval Florida 58296 717 1.23
Oklahoma Oklahoma 56086 423 0.75
Providence Rhode Island 55922 1277 2.28
Essex Massachusetts 54879 1654 3.01
Fulton Georgia 54514 778 1.43
Gwinnett Georgia 54368 591 1.09
Fairfield Connecticut 53101 1669 3.14
Prince George’s Maryland 53043 1065 2.01
Suffolk Massachusetts 52079 1352 2.60
Douglas Nebraska 51591 480 0.93
Allegheny Pennsylvania 51260 916 1.79
Will Illinois 50920 756 1.48
Hamilton Ohio 49823 411 0.82
Hidalgo Texas 49728 2176 4.38
Jefferson Kentucky 49671 517 1.04
Jefferson Alabama 49645 658 1.33
Alameda California 49084 625 1.27
Macomb Michigan 48676 1574 3.23
Travis Texas 48424 532 1.10
Lake Illinois 47101 794 1.69
Denver Colorado 46570 653 1.40
Tulsa Oklahoma 46367 375 0.81
Essex New Jersey 45891 2365 5.15
Collin Texas 45600 351 0.77
Bergen New Jersey 45585 2280 5.00
Montgomery Maryland 44640 1098 2.46
New Haven Connecticut 44134 1486 3.37
Hartford Connecticut 43253 1790 4.14
Pinellas Florida 43210 1029 2.38
Middlesex New Jersey 43137 1632 3.78
San Joaquin California 42887 618 1.44
Fairfax Virginia 42459 671 1.58
Hudson New Jersey 42444 1679 3.96
Kent Michigan 42373 525 1.24
Cobb Georgia 41711 566 1.36
Wake North Carolina 41118 337 0.82
Lubbock Texas 40929 531 1.30
Polk Iowa 40537 406 1.00
Kane Illinois 40532 588 1.45
Worcester Massachusetts 40136 1467 3.66
El Paso Colorado 39887 533 1.34
Erie New York 39486 1147 2.90
Bernalillo New Mexico 39462 538 1.36
Passaic New Jersey 39199 1426 3.64
Lee Florida 39003 652 1.67
Lake Indiana 38879 571 1.47
Adams Colorado 38849 501 1.29
Contra Costa California 38138 321 0.84
Baltimore Maryland 37549 906 2.41
Arapahoe Colorado 36976 537 1.45
Sedgwick Kansas 36975 349 0.94
Denton Texas 36813 320 0.87
Johnson Kansas 36727 413 1.12

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc